Cybersecurity teams are facing a difficult reality: Organizations cannot patch what they do not yet know exists.
A recent threat intelligence analysis from Mandiant, Google’s cybersecurity arm, found that 70% of exploited vulnerabilities disclosed in 2023 were zero-days. In other words, threat actors were able to exploit those vulnerabilities before software vendors and customers knew the flaws existed and before patches were available.
That creates a critical question for every organization:
If attackers can exploit unknown vulnerabilities, how do you protect sensitive data before, during and after an attack?
The answer starts with a zero-trust mindset.
Assume the Breach Before It Happens
Traditional cybersecurity strategies often focus on preventing attackers from entering networks, systems and cloud environments. That work remains important. Organizations still need strong endpoint security, identity controls, network monitoring, patch management and application security.
But zero-day vulnerabilities show why prevention alone is not enough.
A zero-trust mindset assumes that no system, user, device, application or cloud service should be automatically trusted. It also assumes that attackers may eventually find a way into the environment, whether through an unknown vulnerability, stolen credentials, malware, phishing or a compromised third-party service.
That mindset changes the question from “How do we keep everyone out?” to “How do we protect sensitive data even if someone gets in?”
That is where OnData can help.
The Data Protection Gap
Many organizations have made significant investments in cybersecurity but still struggle to protect the data itself.
Sensitive data often lives across databases, data warehouses, applications, documents, files, reports and cloud services. It may include personally identifiable information, protected health information, payment data, criminal justice information, education records, employee records, customer information and other confidential business data.
The pain points are common:
- Security teams do not always know where sensitive data lives.
- Data is copied into less secure environments.
- Users may have broader access than they need.
- Sensitive information is shared in email, chat tools or exported reports.
- Applications may expose data while processing it.
- Traditional security tools may protect systems but not the data inside them.
- Compliance teams need stronger proof of who accessed sensitive data, when and why.
When a zero-day exploit or credential compromise occurs, these gaps can turn an incident into a data breach.
Start With Discovery and Classification
A zero-trust data strategy begins with knowing what data needs protection.
Organizations should catalog and classify sensitive data so they understand where it is stored, how it is used and who should be able to access it. Without that visibility, teams are left guessing about their most important risks.
OnData helps automate discovery and classification of sensitive data across structured and unstructured environments. That gives organizations a clearer view of what data exists, where it lives and which protection policies should apply.
This step is foundational. You cannot enforce zero trust around sensitive data if you do not know where that data is.
Add Data-Centric Protection
Zero trust should not stop at user authentication or network access.
Organizations also need data-centric security controls that protect sensitive information directly. That means encryption, masking, access control, audit logging and policy enforcement should follow the data itself.
OnData helps organizations apply protection at the data layer. Sensitive data can remain encrypted by default and only be revealed to authorized users or approved processes with a legitimate need to know.
This reduces the impact of unauthorized access. Even if attackers compromise a system or account, the data they reach may remain encrypted, masked or inaccessible.
Protect Data While It Is in Use
Many security strategies focus on data at rest and data in transit. Those are important, but they do not fully address what happens when data is actively being used by applications, databases or users.
OnData’s Runtime Encryption technology helps close that gap by protecting sensitive data at runtime. That means data can remain protected while it is being processed and only become readable when access is authorized.
For organizations adopting a zero-trust mindset, this is critical. Sensitive data should not become exposed simply because an application or user session is active.
Train People Around Data Hygiene
Technology is only part of the solution.
A zero-trust data strategy also requires better habits across the organization. Employees should understand why sensitive data should not be copied into unsecured folders, shared in clear text through email or chat, downloaded unnecessarily or stored in personal locations.
OnData can support these efforts by giving organizations stronger controls and better visibility. When policies are enforced at the data level, users can continue doing their jobs while reducing the risk of accidental exposure.
Build Defense in Depth Around the Data
Zero trust is not a single tool or one-time project. It is a mindset supported by people, process and technology.
A strong zero-trust data protection strategy should include:
- Sensitive data discovery and inventory.
- Data classification based on risk and regulatory requirements.
- Need-to-know access controls.
- Runtime encryption.
- Data masking and de-identification.
- Audit logging and monitoring.
- User training and data hygiene.
- Consistent policy enforcement across systems, files and applications.
OnData helps bring these controls together by protecting sensitive data directly, wherever it lives and wherever it moves.
A Better Way to Prepare for Unknown Threats
Organizations cannot prevent every zero-day exploit. They cannot guarantee that every credential will remain secure. They cannot assume every cloud service, application or endpoint will always be safe.
But they can reduce the damage when something goes wrong.
By adopting a zero-trust mindset and protecting sensitive data at the data layer, organizations can make it harder for attackers to access, use or profit from stolen information.
OnData helps organizations move toward that model by discovering sensitive data, classifying it, encrypting it, enforcing need-to-know access and providing detailed audit visibility.
The goal is simple: Never assume sensitive data is safe just because the system around it appears secure.
Protect the data itself.
